Difference between revisions of "ChiSquaredTest Command"
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− | <noinclude>{{Manual Page|version= | + | <noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|statistics}} |
− | {{command|statistics}} | + | ;ChiSquaredTest( <Matrix> ) |
− | ;ChiSquaredTest | + | :Performs a [[w:Chi-squared_test|chi-squared test]] that compares the given matrix of observed counts against the matrix of expected counts determined by the hypothesis of independence. |
− | :Performs a Chi | ||
:The matrix of expected counts is calculated internally. Each expected count is found from the row and column totals of the given matrix of observed counts using the rule: | :The matrix of expected counts is calculated internally. Each expected count is found from the row and column totals of the given matrix of observed counts using the rule: | ||
− | ::expected count = | + | :: <math> \text{expected count} = \frac{\text{row total} × \text{column total}}{\text{total observed counts}} </math> |
− | :Results are returned in list form as {Probabilty value, | + | :Results are returned in list form as ''{Probabilty value, chi-squared test statistic}''. |
− | + | :{{example|1=<code><nowiki>ChiSquaredTest({{1, 2, 1}, {3, 2, 3}})</nowiki></code> yields ''{0.69, 0.75}''.}} | |
− | ;ChiSquaredTest | + | ;ChiSquaredTest( <Observed List>, <Expected List> ) |
− | :Performs a Goodness of Fit test that compares the given list of observed counts against the given list of expected counts. | + | :Performs a [[w:Goodness of fit|Goodness of Fit test]] that compares the given list of observed counts against the given list of expected counts. |
− | :Results are returned in list form as {Probabilty value, | + | :Results are returned in list form as ''{Probabilty value, chi-squared test statistic}''. |
− | + | :{{example|1=<code><nowiki>ChiSquaredTest({1, 2, 3, 4}, {3, 2, 4, 2})</nowiki></code> yields ''{0.31, 3.58}''.}} | |
− | ;ChiSquaredTest | + | ;ChiSquaredTest( <Observed Matrix>, <Expected Matrix> ) |
− | :Performs a Chi | + | :Performs a [[w:Chi-squared_test|chi-squared test]] that compares the given matrix of observed counts against the given matrix of expected counts. |
− | :Results are returned in list form as {Probabilty value, | + | :Results are returned in list form as ''{Probabilty value, chi-squared test statistic}''. |
+ | :{{example|1=<code><nowiki>ChiSquaredTest({{1, 2, 1}, {3, 2, 3}}, {{2, 3, 2}, {4, 2, 3}})</nowiki></code> yields ''{0.45, 1.58}''.}} |
Latest revision as of 23:14, 15 December 2019
- ChiSquaredTest( <Matrix> )
- Performs a chi-squared test that compares the given matrix of observed counts against the matrix of expected counts determined by the hypothesis of independence.
- The matrix of expected counts is calculated internally. Each expected count is found from the row and column totals of the given matrix of observed counts using the rule:
- \text{expected count} = \frac{\text{row total} × \text{column total}}{\text{total observed counts}}
- Results are returned in list form as {Probabilty value, chi-squared test statistic}.
- Example:
ChiSquaredTest({{1, 2, 1}, {3, 2, 3}})
yields {0.69, 0.75}.
- ChiSquaredTest( <Observed List>, <Expected List> )
- Performs a Goodness of Fit test that compares the given list of observed counts against the given list of expected counts.
- Results are returned in list form as {Probabilty value, chi-squared test statistic}.
- Example:
ChiSquaredTest({1, 2, 3, 4}, {3, 2, 4, 2})
yields {0.31, 3.58}.
- ChiSquaredTest( <Observed Matrix>, <Expected Matrix> )
- Performs a chi-squared test that compares the given matrix of observed counts against the given matrix of expected counts.
- Results are returned in list form as {Probabilty value, chi-squared test statistic}.
- Example:
ChiSquaredTest({{1, 2, 1}, {3, 2, 3}}, {{2, 3, 2}, {4, 2, 3}})
yields {0.45, 1.58}.